Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 60 |
| Missing cells | 543 |
| Missing cells (%) | 41.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 10.8 KiB |
| Average record size in memory | 184.0 B |
Variable types
| Text | 2 |
|---|---|
| Unsupported | 2 |
| Categorical | 5 |
| Numeric | 13 |
Region has constant value "" | Constant |
Division has constant value "" | Constant |
Games_Level has constant value "" | Constant |
Qualifier has constant value "" | Constant |
Chad1000x (s) has constant value "" | Constant |
Back Squat (lbs) is highly overall correlated with Clean and Jerk (lbs) and 2 other fields | High correlation |
Clean and Jerk (lbs) is highly overall correlated with Back Squat (lbs) and 2 other fields | High correlation |
Deadlift (lbs) is highly overall correlated with Back Squat (lbs) and 2 other fields | High correlation |
Fight Gone Bad is highly overall correlated with Filthy 50 (s) and 4 other fields | High correlation |
Filthy 50 (s) is highly overall correlated with Fight Gone Bad and 6 other fields | High correlation |
Fran (s) is highly overall correlated with Helen (s) and 1 other fields | High correlation |
Grace (s) is highly overall correlated with Deadlift (lbs) and 1 other fields | High correlation |
Helen (s) is highly overall correlated with Fight Gone Bad and 6 other fields | High correlation |
Max Pull-ups is highly overall correlated with Filthy 50 (s) and 1 other fields | High correlation |
Rank is highly overall correlated with Fight Gone Bad and 2 other fields | High correlation |
Run 5k (s) is highly overall correlated with Fight Gone Bad and 3 other fields | High correlation |
Snatch (lbs) is highly overall correlated with Back Squat (lbs) and 1 other fields | High correlation |
Sprint 400m (s) is highly overall correlated with Fight Gone Bad and 4 other fields | High correlation |
Affiliate has 3 (5.0%) missing values | Missing |
Country has 60 (100.0%) missing values | Missing |
Back Squat (lbs) has 6 (10.0%) missing values | Missing |
Clean and Jerk (lbs) has 3 (5.0%) missing values | Missing |
Deadlift (lbs) has 5 (8.3%) missing values | Missing |
Snatch (lbs) has 4 (6.7%) missing values | Missing |
Fight Gone Bad has 52 (86.7%) missing values | Missing |
Max Pull-ups has 40 (66.7%) missing values | Missing |
Chad1000x (s) has 59 (98.3%) missing values | Missing |
L1 Benchmark (s) has 60 (100.0%) missing values | Missing |
Filthy 50 (s) has 54 (90.0%) missing values | Missing |
Fran (s) has 25 (41.7%) missing values | Missing |
Grace (s) has 31 (51.7%) missing values | Missing |
Helen (s) has 50 (83.3%) missing values | Missing |
Run 5k (s) has 45 (75.0%) missing values | Missing |
Sprint 400m (s) has 46 (76.7%) missing values | Missing |
Athlete has unique values | Unique |
Country is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
L1 Benchmark (s) is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Reproduction
| Analysis started | 2024-02-18 02:59:42.437094 |
|---|---|
| Analysis finished | 2024-02-18 02:59:57.718151 |
| Duration | 15.28 seconds |
| Software version | ydata-profiling vv4.6.4 |
| Download configuration | config.json |
Athlete
Text
UNIQUE
| Distinct | 60 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 960.0 B |
Length
| Max length | 30 |
|---|---|
| Median length | 24 |
| Mean length | 14.833333 |
| Min length | 10 |
Characters and Unicode
| Total characters | 890 |
|---|---|
| Distinct characters | 51 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 60 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Katelin Van Zyl |
|---|---|
| 2nd row | Tanha Bouffe |
| 3rd row | Madeline Sturt |
| 4th row | Gemma Rader |
| 5th row | Luiza Marques |
| Value | Count | Frequency (%) |
| madeline | 3 | 2.4% |
| stephanie | 2 | 1.6% |
| allison | 2 | 1.6% |
| samantha | 2 | 1.6% |
| katelin | 1 | 0.8% |
| fisher | 1 | 0.8% |
| jacqueline | 1 | 0.8% |
| dahlstrøm | 1 | 0.8% |
| shelling | 1 | 0.8% |
| lauren | 1 | 0.8% |
| Other values (111) | 111 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 93 | 10.4% |
| e | 93 | 10.4% |
| l | 70 | 7.9% |
| n | 66 | 7.4% |
| 66 | 7.4% | |
| i | 57 | 6.4% |
| r | 53 | 6.0% |
| o | 43 | 4.8% |
| s | 41 | 4.6% |
| t | 29 | 3.3% |
| Other values (41) | 279 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 696 | |
| Uppercase Letter | 127 | 14.3% |
| Space Separator | 66 | 7.4% |
| Dash Punctuation | 1 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 93 | |
| e | 93 | |
| l | 70 | |
| n | 66 | |
| i | 57 | |
| r | 53 | |
| o | 43 | 6.2% |
| s | 41 | 5.9% |
| t | 29 | 4.2% |
| d | 25 | 3.6% |
| Other values (17) | 126 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 20 | |
| H | 12 | 9.4% |
| M | 12 | 9.4% |
| A | 8 | 6.3% |
| C | 8 | 6.3% |
| W | 7 | 5.5% |
| L | 7 | 5.5% |
| E | 6 | 4.7% |
| R | 6 | 4.7% |
| B | 5 | 3.9% |
| Other values (12) | 36 |
Space Separator
| Value | Count | Frequency (%) |
| 66 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 823 | |
| Common | 67 | 7.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 93 | 11.3% |
| e | 93 | 11.3% |
| l | 70 | 8.5% |
| n | 66 | 8.0% |
| i | 57 | 6.9% |
| r | 53 | 6.4% |
| o | 43 | 5.2% |
| s | 41 | 5.0% |
| t | 29 | 3.5% |
| d | 25 | 3.0% |
| Other values (39) | 253 |
Common
| Value | Count | Frequency (%) |
| 66 | ||
| - | 1 | 1.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 888 | |
| None | 2 | 0.2% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 93 | 10.5% |
| e | 93 | 10.5% |
| l | 70 | 7.9% |
| n | 66 | 7.4% |
| 66 | 7.4% | |
| i | 57 | 6.4% |
| r | 53 | 6.0% |
| o | 43 | 4.8% |
| s | 41 | 4.6% |
| t | 29 | 3.3% |
| Other values (39) | 277 |
None
| Value | Count | Frequency (%) |
| ø | 1 | |
| ð | 1 |
Affiliate
Text
MISSING
| Distinct | 54 |
|---|---|
| Distinct (%) | 94.7% |
| Missing | 3 |
| Missing (%) | 5.0% |
| Memory size | 960.0 B |
Length
| Max length | 37 |
|---|---|
| Median length | 22 |
| Mean length | 16.754386 |
| Min length | 11 |
Characters and Unicode
| Total characters | 955 |
|---|---|
| Distinct characters | 56 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 51 ? |
|---|---|
| Unique (%) | 89.5% |
Sample
| 1st row | CrossFit Urban Energy |
|---|---|
| 2nd row | CrossFit 4E |
| 3rd row | Reebok CrossFit Frankston |
| 4th row | CrossFit Yas |
| 5th row | CrossFit Mayhem |
| Value | Count | Frequency (%) |
| crossfit | 57 | |
| ttt | 2 | 1.6% |
| england | 2 | 1.6% |
| invictus | 2 | 1.6% |
| new | 2 | 1.6% |
| yas | 2 | 1.6% |
| sport | 1 | 0.8% |
| reebok | 1 | 0.8% |
| frankston | 1 | 0.8% |
| colosseum | 1 | 0.8% |
| Other values (56) | 56 |
Most occurring characters
| Value | Count | Frequency (%) |
| s | 133 | |
| i | 87 | 9.1% |
| o | 80 | 8.4% |
| t | 80 | 8.4% |
| r | 79 | 8.3% |
| 70 | 7.3% | |
| C | 65 | 6.8% |
| F | 60 | 6.3% |
| e | 34 | 3.6% |
| a | 31 | 3.2% |
| Other values (46) | 236 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 677 | |
| Uppercase Letter | 195 | 20.4% |
| Space Separator | 70 | 7.3% |
| Decimal Number | 13 | 1.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 133 | |
| i | 87 | |
| o | 80 | |
| t | 80 | |
| r | 79 | |
| e | 34 | 5.0% |
| a | 31 | 4.6% |
| n | 24 | 3.5% |
| l | 21 | 3.1% |
| y | 14 | 2.1% |
| Other values (16) | 94 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 65 | |
| F | 60 | |
| E | 9 | 4.6% |
| N | 7 | 3.6% |
| S | 7 | 3.6% |
| T | 7 | 3.6% |
| B | 6 | 3.1% |
| H | 4 | 2.1% |
| P | 4 | 2.1% |
| R | 4 | 2.1% |
| Other values (13) | 22 | 11.3% |
Decimal Number
| Value | Count | Frequency (%) |
| 4 | 4 | |
| 2 | 3 | |
| 9 | 2 | |
| 1 | 2 | |
| 6 | 1 | 7.7% |
| 3 | 1 | 7.7% |
Space Separator
| Value | Count | Frequency (%) |
| 70 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 872 | |
| Common | 83 | 8.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| s | 133 | |
| i | 87 | |
| o | 80 | |
| t | 80 | |
| r | 79 | 9.1% |
| C | 65 | 7.5% |
| F | 60 | 6.9% |
| e | 34 | 3.9% |
| a | 31 | 3.6% |
| n | 24 | 2.8% |
| Other values (39) | 199 |
Common
| Value | Count | Frequency (%) |
| 70 | ||
| 4 | 4 | 4.8% |
| 2 | 3 | 3.6% |
| 9 | 2 | 2.4% |
| 1 | 2 | 2.4% |
| 6 | 1 | 1.2% |
| 3 | 1 | 1.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 954 | |
| None | 1 | 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| s | 133 | |
| i | 87 | 9.1% |
| o | 80 | 8.4% |
| t | 80 | 8.4% |
| r | 79 | 8.3% |
| 70 | 7.3% | |
| C | 65 | 6.8% |
| F | 60 | 6.3% |
| e | 34 | 3.6% |
| a | 31 | 3.2% |
| Other values (45) | 235 |
None
| Value | Count | Frequency (%) |
| Ã | 1 |
Country
Unsupported
MISSING REJECTED UNSUPPORTED
| Missing | 60 |
|---|---|
| Missing (%) | 100.0% |
| Memory size | 960.0 B |
Region
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 960.0 B |
| worldwide |
|---|
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 9 |
| Min length | 9 |
Characters and Unicode
| Total characters | 540 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | worldwide |
|---|---|
| 2nd row | worldwide |
| 3rd row | worldwide |
| 4th row | worldwide |
| 5th row | worldwide |
Common Values
| Value | Count | Frequency (%) |
| worldwide | 60 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| worldwide | 60 |
Most occurring characters
| Value | Count | Frequency (%) |
| w | 120 | |
| d | 120 | |
| o | 60 | |
| r | 60 | |
| l | 60 | |
| i | 60 | |
| e | 60 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 540 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| w | 120 | |
| d | 120 | |
| o | 60 | |
| r | 60 | |
| l | 60 | |
| i | 60 | |
| e | 60 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 540 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| w | 120 | |
| d | 120 | |
| o | 60 | |
| r | 60 | |
| l | 60 | |
| i | 60 | |
| e | 60 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 540 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| w | 120 | |
| d | 120 | |
| o | 60 | |
| r | 60 | |
| l | 60 | |
| i | 60 | |
| e | 60 |
Division
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 960.0 B |
| Women |
|---|
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 300 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Women |
|---|---|
| 2nd row | Women |
| 3rd row | Women |
| 4th row | Women |
| 5th row | Women |
Common Values
| Value | Count | Frequency (%) |
| Women | 60 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| women | 60 |
Most occurring characters
| Value | Count | Frequency (%) |
| W | 60 | |
| o | 60 | |
| m | 60 | |
| e | 60 | |
| n | 60 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 240 | |
| Uppercase Letter | 60 | 20.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 60 | |
| m | 60 | |
| e | 60 | |
| n | 60 |
Uppercase Letter
| Value | Count | Frequency (%) |
| W | 60 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 300 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| W | 60 | |
| o | 60 | |
| m | 60 | |
| e | 60 | |
| n | 60 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 300 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| W | 60 | |
| o | 60 | |
| m | 60 | |
| e | 60 | |
| n | 60 |
Rank
Real number (ℝ)
HIGH CORRELATION
| Distinct | 41 |
|---|---|
| Distinct (%) | 68.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.85 |
| Minimum | 4 |
|---|---|
| Maximum | 59 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 4 |
|---|---|
| 5-th percentile | 5.95 |
| Q1 | 15 |
| median | 26.5 |
| Q3 | 43.25 |
| 95-th percentile | 55 |
| Maximum | 59 |
| Range | 55 |
| Interquartile range (IQR) | 28.25 |
Descriptive statistics
| Standard deviation | 16.002992 |
|---|---|
| Coefficient of variation (CV) | 0.55469644 |
| Kurtosis | -1.2190842 |
| Mean | 28.85 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 0.23782251 |
| Sum | 1731 |
| Variance | 256.09576 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 21 | 3 | 5.0% |
| 12 | 3 | 5.0% |
| 27 | 3 | 5.0% |
| 15 | 3 | 5.0% |
| 55 | 2 | 3.3% |
| 7 | 2 | 3.3% |
| 13 | 2 | 3.3% |
| 37 | 2 | 3.3% |
| 16 | 2 | 3.3% |
| 17 | 2 | 3.3% |
| Other values (31) | 36 |
| Value | Count | Frequency (%) |
| 4 | 1 | 1.7% |
| 5 | 2 | |
| 6 | 1 | 1.7% |
| 7 | 2 | |
| 11 | 1 | 1.7% |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 1 | 1.7% |
| 15 | 3 | |
| 16 | 2 |
| Value | Count | Frequency (%) |
| 59 | 1 | |
| 56 | 1 | |
| 55 | 2 | |
| 53 | 1 | |
| 52 | 1 | |
| 51 | 1 | |
| 50 | 2 | |
| 49 | 1 | |
| 48 | 1 | |
| 46 | 2 |
Games_Level
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 960.0 B |
| worldwide |
|---|
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 9 |
| Min length | 9 |
Characters and Unicode
| Total characters | 540 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | worldwide |
|---|---|
| 2nd row | worldwide |
| 3rd row | worldwide |
| 4th row | worldwide |
| 5th row | worldwide |
Common Values
| Value | Count | Frequency (%) |
| worldwide | 60 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| worldwide | 60 |
Most occurring characters
| Value | Count | Frequency (%) |
| w | 120 | |
| d | 120 | |
| o | 60 | |
| r | 60 | |
| l | 60 | |
| i | 60 | |
| e | 60 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 540 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| w | 120 | |
| d | 120 | |
| o | 60 | |
| r | 60 | |
| l | 60 | |
| i | 60 | |
| e | 60 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 540 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| w | 120 | |
| d | 120 | |
| o | 60 | |
| r | 60 | |
| l | 60 | |
| i | 60 | |
| e | 60 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 540 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| w | 120 | |
| d | 120 | |
| o | 60 | |
| r | 60 | |
| l | 60 | |
| i | 60 | |
| e | 60 |
Qualifier
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 960.0 B |
| semifinals |
|---|
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 600 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | semifinals |
|---|---|
| 2nd row | semifinals |
| 3rd row | semifinals |
| 4th row | semifinals |
| 5th row | semifinals |
Common Values
| Value | Count | Frequency (%) |
| semifinals | 60 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| semifinals | 60 |
Most occurring characters
| Value | Count | Frequency (%) |
| s | 120 | |
| i | 120 | |
| e | 60 | |
| m | 60 | |
| f | 60 | |
| n | 60 | |
| a | 60 | |
| l | 60 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 600 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 120 | |
| i | 120 | |
| e | 60 | |
| m | 60 | |
| f | 60 | |
| n | 60 | |
| a | 60 | |
| l | 60 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 600 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| s | 120 | |
| i | 120 | |
| e | 60 | |
| m | 60 | |
| f | 60 | |
| n | 60 | |
| a | 60 | |
| l | 60 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 600 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| s | 120 | |
| i | 120 | |
| e | 60 | |
| m | 60 | |
| f | 60 | |
| n | 60 | |
| a | 60 | |
| l | 60 |
Back Squat (lbs)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 31 |
|---|---|
| Distinct (%) | 57.4% |
| Missing | 6 |
| Missing (%) | 10.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 290.62906 |
| Minimum | 220 |
|---|---|
| Maximum | 365 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 220 |
|---|---|
| 5-th percentile | 238.13033 |
| Q1 | 266.25 |
| median | 296.31185 |
| Q3 | 313.75 |
| 95-th percentile | 338.5 |
| Maximum | 365 |
| Range | 145 |
| Interquartile range (IQR) | 47.5 |
Descriptive statistics
| Standard deviation | 32.906559 |
|---|---|
| Coefficient of variation (CV) | 0.11322529 |
| Kurtosis | -0.54533797 |
| Mean | 290.62906 |
| Median Absolute Deviation (MAD) | 23.35805 |
| Skewness | -0.11971995 |
| Sum | 15693.969 |
| Variance | 1082.8416 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 300 | 5 | 8.3% |
| 310 | 3 | 5.0% |
| 275 | 3 | 5.0% |
| 250 | 3 | 5.0% |
| 319.6699 | 2 | 3.3% |
| 242.5082 | 2 | 3.3% |
| 320 | 2 | 3.3% |
| 265 | 2 | 3.3% |
| 305 | 2 | 3.3% |
| 275.5775 | 2 | 3.3% |
| Other values (21) | 28 | |
| (Missing) | 6 | 10.0% |
| Value | Count | Frequency (%) |
| 220 | 1 | 1.7% |
| 230 | 2 | |
| 242.5082 | 2 | |
| 249.12206 | 1 | 1.7% |
| 250 | 3 | |
| 253.5313 | 1 | 1.7% |
| 260.14516 | 2 | |
| 265 | 2 | |
| 270 | 2 | |
| 275 | 3 |
| Value | Count | Frequency (%) |
| 365 | 1 | |
| 346.12534 | 1 | |
| 345 | 1 | |
| 335 | 2 | |
| 330 | 2 | |
| 325 | 1 | |
| 320 | 2 | |
| 319.6699 | 2 | |
| 315.26066 | 1 | |
| 315 | 1 |
Clean and Jerk (lbs)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 38 |
|---|---|
| Distinct (%) | 66.7% |
| Missing | 3 |
| Missing (%) | 5.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 224.13512 |
| Minimum | 165 |
|---|---|
| Maximum | 269 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 165 |
|---|---|
| 5-th percentile | 179.89699 |
| Q1 | 210 |
| median | 230 |
| Q3 | 238.09896 |
| 95-th percentile | 255 |
| Maximum | 269 |
| Range | 104 |
| Interquartile range (IQR) | 28.09896 |
Descriptive statistics
| Standard deviation | 23.143767 |
|---|---|
| Coefficient of variation (CV) | 0.1032581 |
| Kurtosis | 0.011822386 |
| Mean | 224.13512 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | -0.61738327 |
| Sum | 12775.702 |
| Variance | 535.63396 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=38)
| Value | Count | Frequency (%) |
| 235 | 4 | 6.7% |
| 225 | 4 | 6.7% |
| 230 | 4 | 6.7% |
| 231.4851 | 3 | 5.0% |
| 255 | 3 | 5.0% |
| 220 | 3 | 5.0% |
| 205.02966 | 2 | 3.3% |
| 238.09896 | 2 | 3.3% |
| 250 | 2 | 3.3% |
| 210 | 2 | 3.3% |
| Other values (28) | 28 | |
| (Missing) | 3 | 5.0% |
| Value | Count | Frequency (%) |
| 165 | 1 | |
| 175 | 1 | |
| 176.3696 | 1 | |
| 180.77884 | 1 | |
| 182.98346 | 1 | |
| 185 | 1 | |
| 190 | 1 | |
| 198.4158 | 1 | |
| 200 | 1 | |
| 202.82504 | 1 |
| Value | Count | Frequency (%) |
| 269 | 1 | 1.7% |
| 260.14516 | 1 | 1.7% |
| 255 | 3 | |
| 253.5313 | 1 | 1.7% |
| 250 | 2 | |
| 245 | 1 | 1.7% |
| 244.71282 | 1 | 1.7% |
| 243 | 1 | 1.7% |
| 242.5082 | 1 | 1.7% |
| 242 | 1 | 1.7% |
Deadlift (lbs)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 36 |
|---|---|
| Distinct (%) | 65.5% |
| Missing | 5 |
| Missing (%) | 8.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 342.8457 |
| Minimum | 220 |
|---|---|
| Maximum | 440.924 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 220 |
|---|---|
| 5-th percentile | 286.6006 |
| Q1 | 317.83495 |
| median | 341.7161 |
| Q3 | 360.88115 |
| 95-th percentile | 405.85641 |
| Maximum | 440.924 |
| Range | 220.924 |
| Interquartile range (IQR) | 43.0462 |
Descriptive statistics
| Standard deviation | 41.845737 |
|---|---|
| Coefficient of variation (CV) | 0.12205414 |
| Kurtosis | 0.57382467 |
| Mean | 342.8457 |
| Median Absolute Deviation (MAD) | 22.0462 |
| Skewness | 0.032259342 |
| Sum | 18856.514 |
| Variance | 1751.0657 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=36)
| Value | Count | Frequency (%) |
| 325 | 4 | 6.7% |
| 350 | 3 | 5.0% |
| 330 | 3 | 5.0% |
| 405 | 3 | 5.0% |
| 286.6006 | 3 | 5.0% |
| 352.7392 | 3 | 5.0% |
| 400 | 3 | 5.0% |
| 341.7161 | 2 | 3.3% |
| 297.6237 | 2 | 3.3% |
| 355 | 2 | 3.3% |
| Other values (26) | 27 | |
| (Missing) | 5 | 8.3% |
| Value | Count | Frequency (%) |
| 220 | 1 | 1.7% |
| 285 | 1 | 1.7% |
| 286.6006 | 3 | |
| 290 | 1 | 1.7% |
| 295 | 1 | 1.7% |
| 297.6237 | 2 | |
| 300 | 1 | 1.7% |
| 305 | 1 | 1.7% |
| 313.05604 | 1 | 1.7% |
| 315 | 1 | 1.7% |
| Value | Count | Frequency (%) |
| 440.924 | 1 | 1.7% |
| 432 | 1 | 1.7% |
| 407.8547 | 1 | 1.7% |
| 405 | 3 | |
| 400 | 3 | |
| 385.8085 | 1 | 1.7% |
| 380 | 1 | 1.7% |
| 370 | 1 | 1.7% |
| 365 | 1 | 1.7% |
| 363.7623 | 1 | 1.7% |
Snatch (lbs)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 29 |
|---|---|
| Distinct (%) | 51.8% |
| Missing | 4 |
| Missing (%) | 6.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 178.62204 |
| Minimum | 63 |
|---|---|
| Maximum | 215 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 63 |
|---|---|
| 5-th percentile | 144.57507 |
| Q1 | 170 |
| median | 182.98346 |
| Q3 | 192.35145 |
| 95-th percentile | 202.21532 |
| Maximum | 215 |
| Range | 152 |
| Interquartile range (IQR) | 22.351455 |
Descriptive statistics
| Standard deviation | 23.177927 |
|---|---|
| Coefficient of variation (CV) | 0.12975962 |
| Kurtosis | 10.355171 |
| Mean | 178.62204 |
| Median Absolute Deviation (MAD) | 12.01654 |
| Skewness | -2.3837032 |
| Sum | 10002.834 |
| Variance | 537.21632 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 185 | 7 | 11.7% |
| 180 | 5 | 8.3% |
| 170 | 4 | 6.7% |
| 190 | 3 | 5.0% |
| 195 | 3 | 5.0% |
| 176.3696 | 3 | 5.0% |
| 200 | 2 | 3.3% |
| 175 | 2 | 3.3% |
| 198.4158 | 2 | 3.3% |
| 169.75574 | 2 | 3.3% |
| Other values (19) | 23 | |
| (Missing) | 4 | 6.7% |
| Value | Count | Frequency (%) |
| 63 | 1 | |
| 135 | 1 | |
| 143.3003 | 1 | |
| 145 | 1 | |
| 150 | 1 | |
| 155 | 1 | |
| 156.52802 | 1 | |
| 158.73264 | 1 | |
| 160.93726 | 1 | |
| 165.3465 | 2 |
| Value | Count | Frequency (%) |
| 215 | 2 | |
| 207 | 1 | 1.7% |
| 200.62042 | 1 | 1.7% |
| 200 | 2 | |
| 198.4158 | 2 | |
| 198 | 1 | 1.7% |
| 197 | 1 | 1.7% |
| 195 | 3 | |
| 194 | 1 | 1.7% |
| 191.80194 | 2 |
Fight Gone Bad
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 52 |
| Missing (%) | 86.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 394 |
| Minimum | 346 |
|---|---|
| Maximum | 464 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 346 |
|---|---|
| 5-th percentile | 346.7 |
| Q1 | 369.75 |
| median | 388 |
| Q3 | 405.25 |
| 95-th percentile | 459.45 |
| Maximum | 464 |
| Range | 118 |
| Interquartile range (IQR) | 35.5 |
Descriptive statistics
| Standard deviation | 43.008305 |
|---|---|
| Coefficient of variation (CV) | 0.10915813 |
| Kurtosis | -0.44687371 |
| Mean | 394 |
| Median Absolute Deviation (MAD) | 25.5 |
| Skewness | 0.75378247 |
| Sum | 3152 |
| Variance | 1849.7143 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 464 | 1 | 1.7% |
| 389 | 1 | 1.7% |
| 451 | 1 | 1.7% |
| 377 | 1 | 1.7% |
| 346 | 1 | 1.7% |
| 387 | 1 | 1.7% |
| 390 | 1 | 1.7% |
| 348 | 1 | 1.7% |
| (Missing) | 52 |
| Value | Count | Frequency (%) |
| 346 | 1 | |
| 348 | 1 | |
| 377 | 1 | |
| 387 | 1 | |
| 389 | 1 | |
| 390 | 1 | |
| 451 | 1 | |
| 464 | 1 |
| Value | Count | Frequency (%) |
| 464 | 1 | |
| 451 | 1 | |
| 390 | 1 | |
| 389 | 1 | |
| 387 | 1 | |
| 377 | 1 | |
| 348 | 1 | |
| 346 | 1 |
Max Pull-ups
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 11 |
|---|---|
| Distinct (%) | 55.0% |
| Missing | 40 |
| Missing (%) | 66.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.6 |
| Minimum | 30 |
|---|---|
| Maximum | 86 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 30 |
|---|---|
| 5-th percentile | 30 |
| Q1 | 39.75 |
| median | 50 |
| Q3 | 60 |
| 95-th percentile | 62.25 |
| Maximum | 86 |
| Range | 56 |
| Interquartile range (IQR) | 20.25 |
Descriptive statistics
| Standard deviation | 13.311649 |
|---|---|
| Coefficient of variation (CV) | 0.26838002 |
| Kurtosis | 1.6401133 |
| Mean | 49.6 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.74988892 |
| Sum | 992 |
| Variance | 177.2 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 50 | 6 | 10.0% |
| 60 | 3 | 5.0% |
| 30 | 2 | 3.3% |
| 61 | 2 | 3.3% |
| 36 | 1 | 1.7% |
| 86 | 1 | 1.7% |
| 45 | 1 | 1.7% |
| 33 | 1 | 1.7% |
| 39 | 1 | 1.7% |
| 40 | 1 | 1.7% |
| (Missing) | 40 |
| Value | Count | Frequency (%) |
| 30 | 2 | 3.3% |
| 33 | 1 | 1.7% |
| 36 | 1 | 1.7% |
| 39 | 1 | 1.7% |
| 40 | 1 | 1.7% |
| 45 | 1 | 1.7% |
| 50 | 6 | |
| 51 | 1 | 1.7% |
| 60 | 3 | |
| 61 | 2 | 3.3% |
| Value | Count | Frequency (%) |
| 86 | 1 | 1.7% |
| 61 | 2 | 3.3% |
| 60 | 3 | |
| 51 | 1 | 1.7% |
| 50 | 6 | |
| 45 | 1 | 1.7% |
| 40 | 1 | 1.7% |
| 39 | 1 | 1.7% |
| 36 | 1 | 1.7% |
| 33 | 1 | 1.7% |
Chad1000x (s)
Categorical
CONSTANT MISSING
| Distinct | 1 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 59 |
| Missing (%) | 98.3% |
| Memory size | 960.0 B |
| 3549.0 |
|---|
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 6 |
| Min length | 6 |
Characters and Unicode
| Total characters | 6 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 3549.0 |
|---|
Common Values
| Value | Count | Frequency (%) |
| 3549.0 | 1 | 1.7% |
| (Missing) | 59 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 3549.0 | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 5 | 1 | |
| 4 | 1 | |
| 9 | 1 | |
| . | 1 | |
| 0 | 1 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 5 | |
| Other Punctuation | 1 | 16.7% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 5 | 1 | |
| 4 | 1 | |
| 9 | 1 | |
| 0 | 1 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 6 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 5 | 1 | |
| 4 | 1 | |
| 9 | 1 | |
| . | 1 | |
| 0 | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 5 | 1 | |
| 4 | 1 | |
| 9 | 1 | |
| . | 1 | |
| 0 | 1 |
L1 Benchmark (s)
Unsupported
MISSING REJECTED UNSUPPORTED
| Missing | 60 |
|---|---|
| Missing (%) | 100.0% |
| Memory size | 960.0 B |
Filthy 50 (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 6 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 54 |
| Missing (%) | 90.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1233 |
| Minimum | 1054 |
|---|---|
| Maximum | 1410 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 1054 |
|---|---|
| 5-th percentile | 1061.25 |
| Q1 | 1096.25 |
| median | 1235.5 |
| Q3 | 1368.75 |
| 95-th percentile | 1402.5 |
| Maximum | 1410 |
| Range | 356 |
| Interquartile range (IQR) | 272.5 |
Descriptive statistics
| Standard deviation | 159.55689 |
|---|---|
| Coefficient of variation (CV) | 0.12940542 |
| Kurtosis | -2.817553 |
| Mean | 1233 |
| Median Absolute Deviation (MAD) | 148.5 |
| Skewness | -0.017728528 |
| Sum | 7398 |
| Variance | 25458.4 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 1410 | 1 | 1.7% |
| 1136 | 1 | 1.7% |
| 1380 | 1 | 1.7% |
| 1083 | 1 | 1.7% |
| 1054 | 1 | 1.7% |
| 1335 | 1 | 1.7% |
| (Missing) | 54 |
| Value | Count | Frequency (%) |
| 1054 | 1 | |
| 1083 | 1 | |
| 1136 | 1 | |
| 1335 | 1 | |
| 1380 | 1 | |
| 1410 | 1 |
| Value | Count | Frequency (%) |
| 1410 | 1 | |
| 1380 | 1 | |
| 1335 | 1 | |
| 1136 | 1 | |
| 1083 | 1 | |
| 1054 | 1 |
Fran (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 30 |
|---|---|
| Distinct (%) | 85.7% |
| Missing | 25 |
| Missing (%) | 41.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 161.31429 |
| Minimum | 118 |
|---|---|
| Maximum | 320 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 118 |
|---|---|
| 5-th percentile | 119 |
| Q1 | 137 |
| median | 149 |
| Q3 | 171.5 |
| 95-th percentile | 260.1 |
| Maximum | 320 |
| Range | 202 |
| Interquartile range (IQR) | 34.5 |
Descriptive statistics
| Standard deviation | 44.882704 |
|---|---|
| Coefficient of variation (CV) | 0.27823143 |
| Kurtosis | 5.0021455 |
| Mean | 161.31429 |
| Median Absolute Deviation (MAD) | 19 |
| Skewness | 2.1424626 |
| Sum | 5646 |
| Variance | 2014.4571 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=30)
| Value | Count | Frequency (%) |
| 143 | 3 | 5.0% |
| 149 | 2 | 3.3% |
| 119 | 2 | 3.3% |
| 137 | 2 | 3.3% |
| 141 | 1 | 1.7% |
| 193 | 1 | 1.7% |
| 174 | 1 | 1.7% |
| 124 | 1 | 1.7% |
| 138 | 1 | 1.7% |
| 195 | 1 | 1.7% |
| Other values (20) | 20 | |
| (Missing) | 25 |
| Value | Count | Frequency (%) |
| 118 | 1 | |
| 119 | 2 | |
| 122 | 1 | |
| 124 | 1 | |
| 126 | 1 | |
| 130 | 1 | |
| 135 | 1 | |
| 137 | 2 | |
| 138 | 1 | |
| 139 | 1 |
| Value | Count | Frequency (%) |
| 320 | 1 | |
| 286 | 1 | |
| 249 | 1 | |
| 197 | 1 | |
| 195 | 1 | |
| 193 | 1 | |
| 181 | 1 | |
| 176 | 1 | |
| 174 | 1 | |
| 169 | 1 |
Grace (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 26 |
|---|---|
| Distinct (%) | 89.7% |
| Missing | 31 |
| Missing (%) | 51.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 121 |
| Minimum | 69 |
|---|---|
| Maximum | 273 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 69 |
|---|---|
| 5-th percentile | 74.6 |
| Q1 | 94 |
| median | 114 |
| Q3 | 132 |
| 95-th percentile | 202 |
| Maximum | 273 |
| Range | 204 |
| Interquartile range (IQR) | 38 |
Descriptive statistics
| Standard deviation | 44.630227 |
|---|---|
| Coefficient of variation (CV) | 0.36884485 |
| Kurtosis | 4.1468806 |
| Mean | 121 |
| Median Absolute Deviation (MAD) | 20 |
| Skewness | 1.7888901 |
| Sum | 3509 |
| Variance | 1991.8571 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 150 | 2 | 3.3% |
| 117 | 2 | 3.3% |
| 112 | 2 | 3.3% |
| 86 | 1 | 1.7% |
| 175 | 1 | 1.7% |
| 79 | 1 | 1.7% |
| 81 | 1 | 1.7% |
| 118 | 1 | 1.7% |
| 220 | 1 | 1.7% |
| 104 | 1 | 1.7% |
| Other values (16) | 16 | |
| (Missing) | 31 |
| Value | Count | Frequency (%) |
| 69 | 1 | |
| 73 | 1 | |
| 77 | 1 | |
| 79 | 1 | |
| 80 | 1 | |
| 81 | 1 | |
| 86 | 1 | |
| 94 | 1 | |
| 95 | 1 | |
| 98 | 1 |
| Value | Count | Frequency (%) |
| 273 | 1 | |
| 220 | 1 | |
| 175 | 1 | |
| 167 | 1 | |
| 150 | 2 | |
| 134 | 1 | |
| 132 | 1 | |
| 128 | 1 | |
| 123 | 1 | |
| 121 | 1 |
Helen (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 50 |
| Missing (%) | 83.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 590.3 |
| Minimum | 471 |
|---|---|
| Maximum | 768 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 471 |
|---|---|
| 5-th percentile | 477.75 |
| Q1 | 514.75 |
| median | 556.5 |
| Q3 | 651 |
| 95-th percentile | 750.9 |
| Maximum | 768 |
| Range | 297 |
| Interquartile range (IQR) | 136.25 |
Descriptive statistics
| Standard deviation | 103.52997 |
|---|---|
| Coefficient of variation (CV) | 0.17538535 |
| Kurtosis | -0.94546532 |
| Mean | 590.3 |
| Median Absolute Deviation (MAD) | 78 |
| Skewness | 0.63227647 |
| Sum | 5903 |
| Variance | 10718.456 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 652 | 1 | 1.7% |
| 768 | 1 | 1.7% |
| 512 | 1 | 1.7% |
| 566 | 1 | 1.7% |
| 648 | 1 | 1.7% |
| 523 | 1 | 1.7% |
| 486 | 1 | 1.7% |
| 730 | 1 | 1.7% |
| 547 | 1 | 1.7% |
| 471 | 1 | 1.7% |
| (Missing) | 50 |
| Value | Count | Frequency (%) |
| 471 | 1 | |
| 486 | 1 | |
| 512 | 1 | |
| 523 | 1 | |
| 547 | 1 | |
| 566 | 1 | |
| 648 | 1 | |
| 652 | 1 | |
| 730 | 1 | |
| 768 | 1 |
| Value | Count | Frequency (%) |
| 768 | 1 | |
| 730 | 1 | |
| 652 | 1 | |
| 648 | 1 | |
| 566 | 1 | |
| 547 | 1 | |
| 523 | 1 | |
| 512 | 1 | |
| 486 | 1 | |
| 471 | 1 |
Run 5k (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 15 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 45 |
| Missing (%) | 75.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1340.4667 |
| Minimum | 1200 |
|---|---|
| Maximum | 1525 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 1200 |
|---|---|
| 5-th percentile | 1219.6 |
| Q1 | 1273 |
| median | 1340 |
| Q3 | 1391.5 |
| 95-th percentile | 1520.8 |
| Maximum | 1525 |
| Range | 325 |
| Interquartile range (IQR) | 118.5 |
Descriptive statistics
| Standard deviation | 98.732587 |
|---|---|
| Coefficient of variation (CV) | 0.073655384 |
| Kurtosis | -0.28930639 |
| Mean | 1340.4667 |
| Median Absolute Deviation (MAD) | 69 |
| Skewness | 0.56830776 |
| Sum | 20107 |
| Variance | 9748.1238 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 1260 | 1 | 1.7% |
| 1294 | 1 | 1.7% |
| 1286 | 1 | 1.7% |
| 1352 | 1 | 1.7% |
| 1519 | 1 | 1.7% |
| 1351 | 1 | 1.7% |
| 1374 | 1 | 1.7% |
| 1228 | 1 | 1.7% |
| 1200 | 1 | 1.7% |
| 1409 | 1 | 1.7% |
| Other values (5) | 5 | 8.3% |
| (Missing) | 45 |
| Value | Count | Frequency (%) |
| 1200 | 1 | |
| 1228 | 1 | |
| 1230 | 1 | |
| 1260 | 1 | |
| 1286 | 1 | |
| 1294 | 1 | |
| 1312 | 1 | |
| 1340 | 1 | |
| 1351 | 1 | |
| 1352 | 1 |
| Value | Count | Frequency (%) |
| 1525 | 1 | |
| 1519 | 1 | |
| 1427 | 1 | |
| 1409 | 1 | |
| 1374 | 1 | |
| 1352 | 1 | |
| 1351 | 1 | |
| 1340 | 1 | |
| 1312 | 1 | |
| 1294 | 1 |
Sprint 400m (s)
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 12 |
|---|---|
| Distinct (%) | 85.7% |
| Missing | 46 |
| Missing (%) | 76.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 71.357143 |
| Minimum | 59 |
|---|---|
| Maximum | 88 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 960.0 B |
Quantile statistics
| Minimum | 59 |
|---|---|
| 5-th percentile | 59.65 |
| Q1 | 62 |
| median | 70.5 |
| Q3 | 79.5 |
| 95-th percentile | 87.35 |
| Maximum | 88 |
| Range | 29 |
| Interquartile range (IQR) | 17.5 |
Descriptive statistics
| Standard deviation | 10.058346 |
|---|---|
| Coefficient of variation (CV) | 0.14095781 |
| Kurtosis | -1.2064655 |
| Mean | 71.357143 |
| Median Absolute Deviation (MAD) | 9.5 |
| Skewness | 0.32535416 |
| Sum | 999 |
| Variance | 101.17033 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 80 | 2 | 3.3% |
| 60 | 2 | 3.3% |
| 66 | 1 | 1.7% |
| 61 | 1 | 1.7% |
| 88 | 1 | 1.7% |
| 69 | 1 | 1.7% |
| 59 | 1 | 1.7% |
| 87 | 1 | 1.7% |
| 72 | 1 | 1.7% |
| 74 | 1 | 1.7% |
| Other values (2) | 2 | 3.3% |
| (Missing) | 46 |
| Value | Count | Frequency (%) |
| 59 | 1 | |
| 60 | 2 | |
| 61 | 1 | |
| 65 | 1 | |
| 66 | 1 | |
| 69 | 1 | |
| 72 | 1 | |
| 74 | 1 | |
| 78 | 1 | |
| 80 | 2 |
| Value | Count | Frequency (%) |
| 88 | 1 | |
| 87 | 1 | |
| 80 | 2 | |
| 78 | 1 | |
| 74 | 1 | |
| 72 | 1 | |
| 69 | 1 | |
| 66 | 1 | |
| 65 | 1 | |
| 61 | 1 |
| Back Squat (lbs) | Clean and Jerk (lbs) | Deadlift (lbs) | Fight Gone Bad | Filthy 50 (s) | Fran (s) | Grace (s) | Helen (s) | Max Pull-ups | Rank | Run 5k (s) | Snatch (lbs) | Sprint 400m (s) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Back Squat (lbs) | 1.000 | 0.782 | 0.664 | 0.429 | -0.200 | -0.388 | -0.475 | -0.225 | -0.059 | -0.085 | -0.320 | 0.593 | -0.149 |
| Clean and Jerk (lbs) | 0.782 | 1.000 | 0.669 | -0.157 | -0.429 | -0.426 | -0.364 | -0.491 | 0.099 | -0.131 | 0.056 | 0.780 | 0.073 |
| Deadlift (lbs) | 0.664 | 0.669 | 1.000 | 0.024 | -0.371 | -0.394 | -0.578 | -0.321 | -0.176 | -0.084 | 0.240 | 0.480 | 0.043 |
| Fight Gone Bad | 0.429 | -0.157 | 0.024 | 1.000 | -1.000 | -0.321 | -0.214 | 1.000 | -0.029 | -0.539 | -1.000 | -0.085 | -0.500 |
| Filthy 50 (s) | -0.200 | -0.429 | -0.371 | -1.000 | 1.000 | 0.257 | -1.000 | 0.800 | 0.866 | -0.543 | 1.000 | 0.143 | 0.500 |
| Fran (s) | -0.388 | -0.426 | -0.394 | -0.321 | 0.257 | 1.000 | 0.387 | 0.500 | -0.263 | -0.122 | 0.249 | -0.302 | 0.536 |
| Grace (s) | -0.475 | -0.364 | -0.578 | -0.214 | -1.000 | 0.387 | 1.000 | 0.429 | -0.372 | -0.007 | -0.044 | -0.361 | 0.119 |
| Helen (s) | -0.225 | -0.491 | -0.321 | 1.000 | 0.800 | 0.500 | 0.429 | 1.000 | -0.667 | -0.503 | 0.829 | -0.133 | 1.000 |
| Max Pull-ups | -0.059 | 0.099 | -0.176 | -0.029 | 0.866 | -0.263 | -0.372 | -0.667 | 1.000 | 0.105 | 0.075 | 0.105 | 0.472 |
| Rank | -0.085 | -0.131 | -0.084 | -0.539 | -0.543 | -0.122 | -0.007 | -0.503 | 0.105 | 1.000 | 0.168 | -0.021 | -0.237 |
| Run 5k (s) | -0.320 | 0.056 | 0.240 | -1.000 | 1.000 | 0.249 | -0.044 | 0.829 | 0.075 | 0.168 | 1.000 | -0.045 | 0.901 |
| Snatch (lbs) | 0.593 | 0.780 | 0.480 | -0.085 | 0.143 | -0.302 | -0.361 | -0.133 | 0.105 | -0.021 | -0.045 | 1.000 | -0.022 |
| Sprint 400m (s) | -0.149 | 0.073 | 0.043 | -0.500 | 0.500 | 0.536 | 0.119 | 1.000 | 0.472 | -0.237 | 0.901 | -0.022 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Athlete | Affiliate | Country | Region | Division | Rank | Games_Level | Qualifier | Back Squat (lbs) | Clean and Jerk (lbs) | Deadlift (lbs) | Snatch (lbs) | Fight Gone Bad | Max Pull-ups | Chad1000x (s) | L1 Benchmark (s) | Filthy 50 (s) | Fran (s) | Grace (s) | Helen (s) | Run 5k (s) | Sprint 400m (s) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74742 | Katelin Van Zyl | CrossFit Urban Energy | NaN | worldwide | Women | 4.0 | worldwide | semifinals | 319.66990 | 231.48510 | 385.80850 | 182.98346 | NaN | NaN | NaN | NaN | NaN | 164.0 | 86.0 | NaN | 1260.0 | NaN |
| 74743 | Tanha Bouffe | CrossFit 4E | NaN | worldwide | Women | 5.0 | worldwide | semifinals | 275.57750 | 205.02966 | 286.60060 | 169.75574 | NaN | NaN | NaN | NaN | 1410.0 | 249.0 | NaN | 652.0 | NaN | NaN |
| 74744 | Madeline Sturt | Reebok CrossFit Frankston | NaN | worldwide | Women | 5.0 | worldwide | semifinals | 308.64680 | 244.71282 | 407.85470 | 165.34650 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 74745 | Gemma Rader | CrossFit Yas | NaN | worldwide | Women | 6.0 | worldwide | semifinals | 275.00000 | NaN | 330.00000 | 190.00000 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 74748 | Luiza Marques | CrossFit Mayhem | NaN | worldwide | Women | 7.0 | worldwide | semifinals | 230.00000 | 175.00000 | 220.00000 | 145.00000 | NaN | NaN | NaN | NaN | NaN | 286.0 | NaN | NaN | NaN | NaN |
| 74749 | Emma Holliday | 24N46E CrossFit | NaN | worldwide | Women | 7.0 | worldwide | semifinals | 260.14516 | 176.36960 | 313.05604 | 143.30030 | NaN | NaN | NaN | NaN | NaN | NaN | 273.0 | 768.0 | NaN | NaN |
| 74751 | Milana Yakovleva | CrossFit Udarnik | NaN | worldwide | Women | 11.0 | worldwide | semifinals | 249.12206 | 198.41580 | 297.62370 | 169.75574 | NaN | 50.0 | NaN | NaN | NaN | 147.0 | 134.0 | NaN | NaN | 80.0 |
| 74753 | Kloie Wilson | CrossFit Dixie | NaN | worldwide | Women | 12.0 | worldwide | semifinals | 300.00000 | 225.00000 | 355.00000 | 197.00000 | NaN | 30.0 | NaN | NaN | NaN | NaN | 98.0 | NaN | 1294.0 | NaN |
| 74754 | Jacqueline Dahlstrøm | C23 CrossFit | NaN | worldwide | Women | 12.0 | worldwide | semifinals | 286.60060 | 231.48510 | 330.69300 | 182.98346 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 74755 | Madeline Shelling | CrossFit Selwyn | NaN | worldwide | Women | 12.0 | worldwide | semifinals | NaN | 233.68972 | 352.73920 | NaN | NaN | NaN | NaN | NaN | NaN | 143.0 | 150.0 | NaN | NaN | NaN |
| Athlete | Affiliate | Country | Region | Division | Rank | Games_Level | Qualifier | Back Squat (lbs) | Clean and Jerk (lbs) | Deadlift (lbs) | Snatch (lbs) | Fight Gone Bad | Max Pull-ups | Chad1000x (s) | L1 Benchmark (s) | Filthy 50 (s) | Fran (s) | Grace (s) | Helen (s) | Run 5k (s) | Sprint 400m (s) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 74811 | Ashley Walden | CrossFit Blade | NaN | worldwide | Women | 49.0 | worldwide | semifinals | 250.0000 | 225.000 | 340.0000 | 185.0000 | 387.0 | 61.0 | NaN | NaN | NaN | 174.0 | 104.0 | 471.0 | 1312.0 | NaN |
| 74812 | Jeromine Geroudet | CrossFit Lazuli | NaN | worldwide | Women | 50.0 | worldwide | semifinals | 286.6006 | 220.462 | 341.7161 | 165.3465 | 390.0 | 30.0 | NaN | NaN | 1054.0 | 193.0 | 220.0 | NaN | NaN | NaN |
| 74813 | Alina Ward | CrossFit Sprag | NaN | worldwide | Women | 50.0 | worldwide | semifinals | 310.0000 | 220.000 | 400.0000 | 180.0000 | NaN | 39.0 | NaN | NaN | NaN | NaN | 118.0 | NaN | 1230.0 | 60.0 |
| 74814 | Carlie Stone | NaN | NaN | worldwide | Women | 51.0 | worldwide | semifinals | 290.0000 | 230.000 | 400.0000 | 180.0000 | 348.0 | 40.0 | NaN | NaN | NaN | 137.0 | 81.0 | NaN | 1427.0 | 65.0 |
| 74816 | Stephanie Mireles | CrossFit Invictus Back Bay | NaN | worldwide | Women | 52.0 | worldwide | semifinals | 250.0000 | 230.000 | 315.0000 | 200.0000 | NaN | NaN | NaN | NaN | NaN | 143.0 | NaN | NaN | NaN | NaN |
| 74817 | Carrie Stevenson | CrossFit i1uvit | NaN | worldwide | Women | 53.0 | worldwide | semifinals | 270.0000 | 220.000 | 325.0000 | 185.0000 | NaN | 51.0 | NaN | NaN | NaN | 141.0 | NaN | NaN | NaN | NaN |
| 74819 | Bailey Bentley | CrossFit Huntsville | NaN | worldwide | Women | 55.0 | worldwide | semifinals | 320.0000 | 230.000 | 370.0000 | 175.0000 | NaN | 61.0 | NaN | NaN | NaN | 118.0 | 79.0 | NaN | NaN | NaN |
| 74820 | Natalie Jennings | CrossFit Up | NaN | worldwide | Women | 55.0 | worldwide | semifinals | NaN | 210.000 | NaN | 170.0000 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 74821 | Rachel Fricker | CrossFit Explode | NaN | worldwide | Women | 56.0 | worldwide | semifinals | 300.0000 | 225.000 | 335.0000 | 180.0000 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 74822 | Madeline Helms | CrossFit Electric City | NaN | worldwide | Women | 59.0 | worldwide | semifinals | 295.0000 | 210.000 | 325.0000 | 155.0000 | NaN | NaN | NaN | NaN | 1335.0 | 152.0 | 114.0 | NaN | 1340.0 | NaN |